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 Series Title: Louisiana: U-6 Total unemployed, plus all marginally attached workers, plus total employed part-time for economic reasons: 4 Quarter Average Percent: Alternative Measures of Labor Underutilization
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 2003 04  2810.6
 2004 04 8110.1
 2005 04  359·7
 2006 04 548.1
 2007 04  297·2
 2008 04 507·8
 2009 01  118.2
 2009 02  369·1
 2009 03  2810.3
 2009 04  4910·6
 2010 01 2011·1
 2010 02 4711.7
 2010 03 7412·0
 2010 04 5912·9
 2011 01  7413.8
 2011 02  3313·6
 2011 03  4413·4
 2011 04  8713.4
 2012 01 1013·0


 2012 02 6113·0
 2012 03 3812·7
 2012 04 6511·9
 2013 01  9212·2
 2013 02  2712.5
 2013 03  8112·6
 2013 04  4912·7
 2014 01 911.5
 2014 02 5011·0
 2014 03 2411.0
 2014 04 2111·3
 2015 01  7112.0
 2015 02  7311.9
 2015 03  4111·6
 2015 04  8711.1
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Similar Series

All series: 4 Quarter Average Percent

U-1 Persons unemployed 15 weeks or longer
U-2 Job losers and persons who completed temporary jobs
U-3 Total unemployed
U-4 Total unemployed plus discouraged workers
U-5 Total unemployed, plus discouraged workers, plus all other marginally attached workers
U-6 Total unemployed, plus all marginally attached workers, plus total employed part-time for economic reasons



 Series Title: Louisiana: U-6 Total unemployed, plus all marginally attached workers, plus total employed part-time for economic reasons: 4 Quarter Average Percent: Alternative Measures of Labor Underutilization
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
   Transform this series  |  Display series in COPY/PASTE format  |  More series like this one

Similar Data:

     US Unemployment Data by Type of Employee
     Unemployment Data by State: Seasonally Adjusted
     Unemployment Data by State
     Unemployment Data by MSA/City
     All 9,000+ Unemployment Rate Series
     Employment and Unemployment Rate Lists; by State, or City

Want state and city building permits data? Click here for California and then find your own.

Sites of Interest: Conerly Consulting: Economics for Business Decisions *

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